MSPs need to close the chasm between technical delivery and felt value.
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Contrary to what some might say, the managed service provider (MSP) market is not broken, but it is being forced to confront issues that have been present for years.
Many of us in this industry adopted the concept of recurring revenue, but we did not always build the operational discipline, customer accountability, and post-sale consistency needed to make that model fully work over the long term.
As the founder of Totango, Guy Nirpaz, points out, “In today’s cloud-centric, subscription-based economy, customers can easily walk away, which means businesses can’t afford to solely focus on acquisition to drive predictable growth.” AI is now accelerating that pressure. What used to be manageable inefficiency is becoming much harder to ignore.
The Great Chasm
Too many MSPs still mistake operational competence for strategy. That worked when uptime itself felt like magic. It does not work in a market where stable infrastructure is assumed.
The customer journey now determines whether value actually compounds after the sale. AI visibility has also become a business issue, not just a security footnote.
That is the great chasm.
MSPs are often very good at delivery and much less consistent at turning delivery into felt value. We close tickets, maintain systems, and prevent problems clients never see. Then we arrive at a review meeting with a deck full of technical detail and wonder why the client still sees us as a vendor.
If your “strategic” conversation still sounds like an upgraded service recap, something needs to change. Many MSPs are healthy enough to avoid immediate urgency but not yet differentiated enough to see what is changing around them.
That is the risk. An MSP can survive for a long time on sticky contracts, good engineers, and low churn while gradually becoming interchangeable. If the business is still operating like a reactive service model wrapped in recurring revenue, it is not capturing the full potential of the model.
Run It Like a Software Company
The SaaS world figured this out a long time ago.
In SaaS, the deal is not the finish line. The real product is the ongoing customer journey. Adoption, health, renewals, executive alignment, and expansion all have to be managed with intention. Software companies learned that recurring revenue only becomes durable when customers continue to experience value after the invoice starts.
MSPs adopted the economics of software but, in many cases, kept too much of the psychology of old-school services. We embraced recurring revenue but did not always embrace the operating model that should accompany it. We still tend to celebrate effort over outcomes.
Technical competence matters, but it no longer automatically earns trusted-advisor status.
When I say MSPs should run more like software companies, I do not mean imitating SaaS language. I mean adopting the discipline. Segment clients. Define success after onboarding. Measure account health before the relationship drifts. Make value visible. Standardize the cadence of strategic conversations. Build a system so that trust does not depend on a single unusually sharp engineer or a charismatic vCIO.
Stop relying on heroics and start relying on design.
AI Made This Immediate
Now layer AI on top of all of this.
The average MSP supports a portfolio of small businesses that are already experimenting with new tools. That is what is driving so much anxiety in the channel. What if clients figure AI out without their MSP?
Some will, especially if the MSP stays quiet. The moment a client starts looking somewhere else for strategic guidance on AI, it is a signal that the relationship has not been positioned as strategically as it could be.
This is why shadow AI matters so much. The visibility problem has evolved into a core business challenge because you cannot govern, prioritize, or monetize what you cannot see. In the words of Mark Adams, CRO of Cloudmore, “AI is exposing what was never really selling.”
That is also why, at ScalePad, we launched SaaS Management in Lifecycle Manager X. The goal is to give MSPs real visibility into SaaS and AI usage across client environments so they can uncover shadow IT, spot waste, guide governance, and have smarter strategic conversations based on facts rather than guesses.
That launch is one example of where the market is heading. MSPs can be among the biggest beneficiaries of AI if they are willing to engage with it directly. Automation will improve service delivery. Better data will sharpen advisory work. New governance questions will create new relationships and new revenue.
But that opportunity belongs to MSPs willing to move beyond passive infrastructure management.
Clients already expect their MSP to have a point of view on AI. They expect you to know what tools are showing up, where the risks are, and where the upside may exist.
That is why this moment matters. The hard part is not change itself. The hard part is recognizing when the old model is no longer enough.
Once that becomes clear, the next move is straightforward: build Customer Success like you mean it and operate the business like the recurring-revenue company it already is.
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